Abstract
On the foundation of policy research and semantic analysis of documents, we put forward a mining method of effective latent policy lineage relationship. We apply the factor space theory to policy research and propose a concept-factor decomposition method. With the combine concepts, we put forward the generic extraction method to mine latent genes. Finally, we conduct an experimental verification on the policy text sets of two legal policies. The test comparison demonstrates the method's feasibility and effectiveness.
Original language | English |
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Title of host publication | Eighth International Conference on Internet Computing for Science and Engineering (ICICSE 2015) |
Subtitle of host publication | 6-8 November 2015, Harbin, China, Proceedings |
Editors | Jun Ni |
Place of Publication | Piscataway, NJ |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 91-97 |
Number of pages | 7 |
ISBN (Print) | 9781509004546 |
DOIs | |
Publication status | Published - 29 Feb 2016 |
Event | International Conference on Internet Computing in Science and Engineering 2015 - Harbin, China Duration: 6 Nov 2015 → 8 Nov 2015 Conference number: 8th |
Conference
Conference | International Conference on Internet Computing in Science and Engineering 2015 |
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Abbreviated title | ICICSE 2015 |
Country/Territory | China |
City | Harbin |
Period | 6/11/15 → 8/11/15 |
Keywords
- Factor space
- Similarity extraction
- Latent lineage